An Evidence-Hierarchical Decision Aid for Ranking in Evidence-Based Medici

Landes, Jürgen (2020): An Evidence-Hierarchical Decision Aid for Ranking in Evidence-Based Medici. In: Osimani, Barbara und La Caze, Adam (Hrsg.): Uncertainty in Pharmacology: Epistemology, Methods, and Decisions. Boston Studies in the Philosophy and History of Science, Bd. 338. Cham: Springer. S. 231-259

Abstract

This chapter addresses the problem of ranking available drugs in guideline development to support clinicians in their work. Based on a pragmatic approach to the notion of evidence and a hierarchical view on different kinds of evidence this chapter introduces a decision aid, HiDAD, which draws on the multi criteria decision making literature. This decision aid implements the wide-spread intuition that there are different kinds of evidence with varying degrees of importance by relying on a strict ordinal ordering of kinds of evidence. In order to construct a ranking every pair of drugs is first compared separately on all kinds of evidence. Next, these quantitative comparisons are then aggregated into an overall comparison between drugs based on all the available evidence in a way which avoids that evidence of less importance is trumped by evidence of the higher levels. Finally, these overall comparisons are used to determine the final ranking of drugs which then informs the process of guideline writing. Properties, modifications and applicability of the decision aid HiDAD are discussed and assessed.

• Dokumententyp: Buchbeitrag
• Publikationsform: Preprint
• Fakultät: Philosophie, Wissenschaftstheorie und Religionswissenschaft > Munich Center for Mathematical Philosophy (MCMP)
• Themengebiete: 100 Philosophie und Psychologie > 100 Philosophie
• ISBN: 978-3-030-29178-5
• Ort: Cham
• Sprache: Englisch